class_docstr: A specific binarization of the MNIST dataset.
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(
                      shape=mnist.MNIST_IMAGE_SHAPE
                  )
              }
          ),
          homepage="http://www.dmi.usherb.ca/~larocheh/mlpython/_modules/datasets/binarized_mnist.html",
      )
  
file_path: datasets/tensorflow_datasets/datasets/binarized_mnist/binarized_mnist_dataset_builder.py
imports: import numpy
  from six.moves import urllib
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.image_classification import mnist
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Builder obj's underlying member method code with example usage: obj._info() and returns: self